AI inside your product
Add search, assistants or other AI features to the application your customers already use.
Discuss thisAI engineering for real products
Build AI into
what you already run.
We write the code that connects AI models to your product, data and business systems. From RAG and vector search to backend integrations and deployment, we build features your team can actually ship and support.
Open for new projectsWorking with teams worldwide
RAG + VECTOR SEARCH×MODEL APIs×LANGCHAIN×BACKEND INTEGRATIONS×PRODUCTION DEPLOYMENT
A SIMPLE WAY TO START
Start with one feature or workflow.
We’ll look at your current product, data and systems, then outline what it would take to build the AI feature properly.
See the three-day reviewWHAT WE BUILD
AI features that belong in your software.
We work in the codebase and connect the model to the data, interfaces and services your team already uses.
RAG and vector search
Connect a model to your documents and data so answers are grounded in your own sources.
Discuss thisDocument processing
Read invoices, contracts and forms, pull out the details and pass them into your existing systems.
Discuss thisAI workflows and agents
Build multi-step features that can use tools, follow your business rules and ask a person when needed.
See how we startModel and API integration
Connect frontier or open models to your backend, then test quality, latency and cost on real examples.
Discuss thisPrivate, scalable deployment
Run in your cloud or on your servers, with the monitoring and controls needed for daily use.
Discuss thisHOW WE BUILD
We work directly in your codebase. That can mean using LangChain where it helps, building retrieval on a vector database, connecting to your APIs and data stores, and adding the monitoring and tests the system needs.
EXAMPLE / INSURANCE
Help claims teams review documents faster.
In a claims workflow, AI can read incoming documents, pull out the important details and flag anything that needs a closer look. The team still makes the final call.
- 01Bring the claim and supporting documents together
- 02Pull out details with links to where they came from
- 03Check those details against policy rules
- 04Send unclear cases to a person for review
An example of the kind of system we can build.
WHERE WE WORK
Useful AI depends on the business around it.
01Insurance02Fintech03Healthcare04Legal05Logistics06E-commerce07SaaS08Operations
HOW WE WORK
Start with a small, useful version.
We test it against real examples, connect it to your software and keep improving it once people are using it.
012–3 days
Understand the product
We look at your users, codebase, data and the result the new feature needs to deliver.
021–3 weeks
Build and test a first version
We build the integration and test it against real examples, including the awkward ones.
032–6 weeks
Get it ready for use
We add the checks, monitoring and deployment setup your team needs to run it reliably.
✓ Agree on the goal first✓ Show progress each week✓ Keep your data protected✓ Leave your team able to use it
TELL US ABOUT YOUR PROJECT
What would you like to build?
A few sentences are enough. Tell us about the feature, the product it belongs in and the data it needs. We’ll reply with a sensible first step.